Private image editing in Venice with natural language commands

Why private image editing matters

Most AI image editing services analyze and store every image you upload, using them for training and content moderation. Venice takes a different approach: your personal photos, creative projects, and artistic ideas are not logged, so you can edit freely without your work feeding someone else's dataset.

Venice understands natural language commands and handles a wide range of edits, from removing a single object to transforming an entire image into a new artistic style. This guide walks through four capabilities: color adjustments, lighting changes, style changes, inpainting, and compositional editing.

Getting started: upload and colorize

To begin, switch into image mode, click the paperclip icon, select "edit image," and upload a photo.

Once your image is loaded, you describe the edit in plain language. For an old black and white war photo, the prompt is simply:

colorize this old black and white photo

The result comes back sharp and clear, with color applied across the original scene. From here every edit follows the same pattern: upload, describe what you want, compare against the original.

Changing lighting and style

Start a new chat for each new type of edit. To shift the mood of a scene through lighting, use a direct instruction:

change the lighting to golden hour

This recolors and relights the whole scene while keeping its content intact. Style changes work the same way. To reimagine a photo as animation-style art, prompt:

change the style to Studio Ghibli

The output keeps the composition of the original while applying the new visual style across it.

Inpainting: removing objects and applying paint styles

Inpainting lets you remove elements from an image or repaint it entirely. To take a person out of a scene, name what you want gone and where it is:

remove the human in front of the books

Venice removes the subject and fills in the space behind them. You can also convert a photo into a painted medium:

make this a watercolor painting

The detail carries through well. In the demo, a "Freud" book title visible in the original photo is still legible in the watercolor version, which shows how much of the source content is preserved.

Prompt specifically for better results

The single most useful tip for image editing is to be as specific as possible in your wording. This applies to most AI usage, but it matters especially when editing images.

Instead of a vague "colorize this photo," describe each element you want and how it should look. For an old portrait, a detailed prompt produces a much more controlled result:

his uniform is dark red and the background wall is a light blue. his boots are black. the lighting is very dramatic with heavy shadows

The trade-off to notice: the more you direct, the more the model reinterprets. In the example, the textured, layered original wall became a flat, single-color modern wall, while the uniform, boots, and dramatic shadows matched the prompt exactly.

Compositional editing and its limits

Compositional editing changes the structure or viewpoint of an image, and it is the trickiest category. To change a camera angle, describe the new perspective directly:

change the perspective of the red vehicle to an aerial bird's eye point of view

The result delivers a bird's eye view and keeps related elements consistent, such as the roadside brush and the street lines, though the car itself is not fully visible from the new angle. Expect compositional edits to need experimentation, since reconstructing a scene from a new viewpoint asks more of the model than recoloring or restyling.

What you can do with it

Venice gives you image editing through simple natural language commands while keeping your work private. The same upload-and-describe workflow covers colorization, relighting, style transfer, object removal, painting conversions, and perspective changes.

Whether you are a designer, a content creator, or someone who simply values privacy, you can edit images without those images being stored, moderated, or used to train a model.

Key takeaways

• Venice edits images from plain-language prompts without logging or training on your photos.
• The core workflow is the same every time: open image mode, attach a photo via the paperclip, choose edit image, then describe the change.
• Specific prompts that name colors, materials, and lighting produce noticeably better, more controlled results.
• Inpainting handles object removal and painting styles reliably, while compositional edits like perspective changes are harder and may need several tries.